On the Impact of Treatment Restrictions for the Indigent Suffering from a Chronic Disease: The Case of Compassionate Dialysis

2021 ◽  
Author(s):  
Olga Bountali ◽  
Sila Çetinkaya ◽  
Vishal Ahuja

We analyze a congested healthcare delivery setting resulting from emergency treatment of a chronic disease on a regular basis. A prominent example of the problem of interest is congestion in the emergency room (ER) at a publicly funded safety net hospital resulting from recurrent arrivals of uninsured end-stage renal disease patients needing dialysis (a.k.a. compassionate dialysis). Unfortunately, this is the only treatment option for un/under-funded patients (e.g., undocumented immigrants) with ESRD, and it is available only when the patient’s clinical condition is deemed as life-threatening after a mandatory protocol, including an initial screening assessment in the ER as dictated and communicated by hospital administration and county policy. After the screening assessment, the so-called treatment restrictions are in place, and a certain percentage of patients are sent back home; the ER, thus, serves as a screening stage. The intention here is to control system load and, hence, overcrowding via restricting service (i.e., dialysis) for recurrent arrivals as a result of the chronic nature of the underlying disease. In order to develop a deeper understanding of potential unintended consequences, we model the problem setting as a stylized queueing network with recurrent arrivals and restricted service subject to the mandatory screening assessment in the ER. We obtain analytical expressions of fundamental quantitative metrics related to network characteristics along with more sophisticated performance measures. The performance measures of interest include both traditional and new problem-specific metrics, such as those that are indicative of deterioration in patient welfare because of rejections and treatment delays. We identify cases for which treatment restrictions alone may alleviate or lead to severe congestion and treatment delays, thereby impacting both the system operation and patient welfare. The fundamental insight we offer is centered around the finding that the impact of mandatory protocol on network characteristics as well as traditional and problem-specific performance measures is nontrivial and counterintuitive. However, impact is analytically and/or numerically quantifiable via our approach. Overall, our quantitative results demonstrate that the thinking behind the mandatory protocol is potentially naive. This is because the approach does not necessarily serve its intended purpose of controlling system-load and overcrowding.

2016 ◽  
Vol 30 (1) ◽  
pp. 10-15 ◽  
Author(s):  
Elmer B Fos

Safety-net hospitals are hospitals with patient mix that is substantially composed of the uninsured, underinsured, and low-income, medically vulnerable patient populations. They are the hospitals of last resort for poor patients. This article examined the impact of The Centers for Medicare and Medicaid Services pay-for-performance reimbursement policies on the financial viability of safety-net hospitals. Studies showed that these policies, which are based on the principle of reward and punishment, might have unintentionally placed safety-net hospitals on financial disadvantage compared to other hospital organizations. Several studies implied that these payment structures might have resulted in a situation where safety-net hospitals that are serving poor patient populations become more susceptible to penalties than hospitals that are serving affluent patients.


2020 ◽  
Vol 91 (8) ◽  
pp. 651-661
Author(s):  
Joshua T. Davis ◽  
Hilary A. Uyhelji

INTRODUCTION: Although the impact of microorganisms on their hosts has been investigated for decades, recent technological advances have permitted high-throughput studies of the collective microbial genomes colonizing a host or habitat, also known as the microbiome. This literature review presents an overview of microbiome research, with an emphasis on topics that have the potential for future applications to aviation safety. In humans, research is beginning to suggest relationships of the microbiome with physical disorders, including type 1 and type 2 diabetes mellitus, cardiovascular disease, and respiratory disease. The microbiome also has been associated with psychological health, including depression, anxiety, and the social complications that arise in autism spectrum disorders. Pharmaceuticals can alter microbiome diversity, and may lead to unintended consequences both short and long-term. As research strengthens understanding of the connections between the microbiota and human health, several potential applications for aerospace medicine and aviation safety emerge. For example, information derived from tests of the microbiota has potential future relevance for medical certification of pilots, accident investigation, and evaluation of fitness for duty in aerospace operations. Moreover, air travel may impact the microbiome of passengers and crew, including potential impacts on the spread of disease nationally and internationally. Construction, maintenance, and cleaning regimens that consider the potential for microbial colonization in airports and cabin environments may promote the health of travelers. Altogether, the mounting knowledge of microbiome effects on health presents several opportunities for future research into how and whether microbiome-based insights could be used to improve aviation safety.Davis JT, Uyhelji HA. Aviation and the microbiome. Aerosp Med Hum Perform. 2020; 91(8):651–661.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.


2021 ◽  
Vol 6 (1) ◽  
pp. 238146832199040
Author(s):  
Gregory S. Zaric

Background. Pharmaceutical risk sharing agreements (RSAs) are commonly used to manage uncertainties in costs and/or clinical benefits when new drugs are added to a formulary. However, existing mathematical models of RSAs ignore the impact of RSAs on clinical and financial risk. Methods. We develop a model in which the number of patients, total drug consumption per patient, and incremental health benefits per patient are uncertain at the time of the introduction of a new drug. We use the model to evaluate the impact of six common RSAs on total drug costs and total net monetary benefit (NMB). Results. We show that, relative to not having an RSA in place, each RSA reduces expected total drug costs and increases expected total NMB. Each RSA also improves two measures of risk by reducing the probability that total drug costs exceed any threshold and reducing the probability of obtaining negative NMB. However, the effects on variance in both NMB and total drug costs are mixed. In some cases, relative to not having an RSA in place, implementing an RSA can increase variability in total drug costs or total NMB. We also show that, for some RSAs, when their parameters are adjusted so that they have the same impact on expected total drug cost, they can be rank-ordered in terms of their impact on variance in drug costs. Conclusions. Although all RSAs reduce expected total drug costs and increase expected total NMB, some RSAs may actually have the undesirable effect of increasing risk. Payers and formulary managers should be aware of these mean-variance tradeoffs and the potentially unintended results of RSAs when designing and negotiating RSAs.


2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Ravi J. Chokshi ◽  
Jin K. Kim ◽  
Jimmy Patel ◽  
Joseph B. Oliver ◽  
Omar Mahmoud

AbstractObjectivesThe impact of insurance status on oncological outcome in patients undergoing cytoreduction and hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) is poorly understood.MethodsRetrospective study on 31 patients having undergone 36 CRS-HIPEC at a single institution (safety-net hospital) between 2012 and 2018. Patients were categorized as insured or underinsured. Demographics and perioperative events were compared. Primary outcome was overall survival (OS).ResultsA total of 20 patients were underinsured and 11 were insured. There were less gynecologic malignancies in the underinsured (p=0.02). On univariate analysis, factors linked to poor survival included gastrointestinal (p=0.01) and gynecologic malignancies (p=0.046), treatment with neoadjuvant chemotherapy (p=0.03), CC1 (p=0.02), abdominal wall resection (p=0.01) and Clavien–Dindo 3-4 (p=0.01). Treatment with neoadjuvant chemotherapy and abdominal wall resections, but not insurance status, were independently associated with OS (p=0.01, p=0.02 respectively). However, at the end of follow-up, six patients were alive in the insured group vs. zero in the underinsured group.ConclusionsIn this small, exploratory study, there was no statistical difference in OS between insured and underinsured patients after CRS-HIPEC. However, long-term survivors were observed only in the insured group.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ka Chun Chong ◽  
Hong Fung ◽  
Carrie Ho Kwan Yam ◽  
Patsy Yuen Kwan Chau ◽  
Tsz Yu Chow ◽  
...  

Abstract Background The elderly healthcare voucher (EHCV) scheme is expected to lead to an increase in the number of elderly people selecting private primary healthcare services and reduce reliance on the public sector in Hong Kong. However, studies thus far have reported that this scheme has not received satisfactory responses. In this study, we examined changes in the ratio of visits between public and private doctors in primary care (to measure reliance on the public sector) for different strategic scenarios in the EHCV scheme. Methods Based on comments from an expert panel, a system dynamics model was formulated to simulate the impact of various enhanced strategies in the scheme: increasing voucher amounts, lowering the age eligibility, and designating vouchers for chronic conditions follow-up. Data and statistics for the model calibration were collected from various sources. Results The simulation results show that the current EHCV scheme is unable to reduce the utilization of public healthcare services, as well as the ratio of visits between public and private primary care among the local aging population. When comparing three different tested scenarios, even if the increase in the annual voucher amount could be maintained at the current pace or the age eligibility can be lowered to include those aged 60 years, the impact on shifts from public-to-private utilization were insignificant. The public-to-private ratio could only be marginally reduced from 0.74 to 0.64 in the first several years. Nevertheless, introducing a chronic disease-oriented voucher could result in a significant drop of 0.50 in the public-to-private ratio during the early implementation phase. However, the effect could not be maintained for an extended period. Conclusions Our findings will assist officials in improving the design of the EHCV scheme, within the wider context of promoting primary care among the elderly. We suggest that an additional chronic disease-oriented voucher can serve as an alternative strategy. The scheme must be redesigned to address more specific objectives or provide a separate voucher that promotes under-utilized healthcare services (e.g., preventive care), instead of services designed for unspecified reasons, which may lead to concerns regarding exploitation.


Author(s):  
Caitlin Vitosky Clarke ◽  
Brynn C Adamson

This paper offers new insights into the promotion of the Exercise is Medicine (EIM) framework for mental illness and chronic disease. Utilising the Syndemics Framework, which posits mental health conditions as corollaries of social conditions, we argue that medicalized exercise promotion paradigms both ignore the social conditions that can contribute to mental illness and can contribute to mental illness via discrimination and worsening self-concept based on disability. We first address the ways in which the current EIM framework may be too narrow in scope in considering the impact of social factors as determinants of health. We then consider how this narrow scope in combination with the emphasis on independence and individual prescriptions may serve to reinforce stigma and shame associated with both chronic disease and mental illness. We draw on examples from two distinct research projects, one on exercise interventions for depression and one on exercise interventions for multiple sclerosis (MS), in order to consider ways to improve the approach to exercise promotion for these and other, related populations.


Author(s):  
Jimmi Mathisen ◽  
Natasja Koitzsch Jensen ◽  
Jakob Bue Bjorner ◽  
Henrik Brønnum-Hansen ◽  
Ulla Christensen ◽  
...  

Abstract Background In 2013, Denmark implemented a reform that tightened the criteria for disability pension, expanded a subsidized job scheme (‘flexi-job’) and introduced a new vocational rehabilitation scheme. The overall aim of the reform was to keep more persons attached to the labour market. This study investigates the impact of the reform among persons with chronic disease and whether this impact differed across groups defined by labour market affiliation and chronic disease type. Methods The study was conducted as a register-based, nationwide cohort study. The study population included 480 809 persons between 40 and 64 years of age, who suffered from at least one of six chronic diseases. Hazard ratios (HR) and 95% confidence intervals (CI) of being awarded disability pension or flexi-job in the 5 years after vs. the 5 years prior to the reform were estimated. Results Overall, the probability of being awarded disability pension was halved after the reform (HR = 0.49, CI: 0.47–0.50). The impact was largest for persons receiving sickness absence benefits (HR = 0.31, CI: 0.24–0.39) and for persons with functional disorders (HR = 0.38, CI: 0.32–0.44). Also, the impact was larger for persons working in manual jobs than for persons working in non-manual jobs. The probability of being awarded a flexi-job was decreased by one-fourth (HR = 0.76, CI: 0.74–0.79) with the largest impact for high-skilled persons working in non-manual jobs. Conclusion Access to disability pension and flexi-job decreased after the reform. This impact varied according to labour market affiliation and chronic disease type.


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